Report for Model 7

— for both jointly and separately

2024-08-10

1. Joint Modeling

1.1 Trace plots for convergence check

The current MCMC setting is:

  • 100,000 iteration;
  • 90,000 burn-in;
  • 10 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.00       1.01
## LDevsum       1.00       1.01
## dh0           1.06       1.16
## dh1           1.05       1.13
## dl0           1.10       1.27
## dl1           1.19       1.50
## dl2           1.02       1.04
## 
## Multivariate psrf
## 
## 1.2

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

  • Total deviance;
  • Variables that didn’t pass the convergence check.

1.4 WAIC results

LevelH LevelL
DIC 1473.9832 22568.0036
DIC3 1312.3190 22441.7809
PWAIC 122.9428 136.6518
WAIC 1407.7695 22448.2204

2. Separate Modeling

2.1 Trace plots for convergence check

The current MCMC setting is:

  • 100,000 iteration;
  • 90,000 burn-in;
  • 10 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.01       1.04
## LDevsum       1.00       1.00
## dh0           2.60       4.97
## dh1           2.57       6.22
## dl0           1.19       1.47
## dl1           1.05       1.14
## dl2           1.03       1.06
## 
## Multivariate psrf
## 
## 2.3

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

  • Total deviance;
  • Variables that didn’t pass the convergence check.

2.4 WAIC results

LevelH LevelL
DIC 1368.04979 30293.5799
DIC3 1241.80368 30384.2713
PWAIC 88.31523 140.1374
WAIC 1309.32686 30388.2600